Okoli Ifechukwu Chinwe Claim this profile

I converted a raw and unstructured CSV file into a functional relational database in MYSQL. This involved performing rigorous data cleaning and over coming significant data hurdles and exceuting complex SQL queries to extract business insights regarding logistics, customer retention and revenue growth.

The aim of the project was to create an interactive app-style executive dashboard from raw and unstructured transactional data from major fashion brands.

This Project is an End-To-End data pipeline that extracts live global population metrics from unstructured HTML web pages, trandforms it into clean analytical format and extracts meaningful insights from it using python and pandas library

This project ananlyzes four years of supply chain data to track revenue and profitability trends. A 3 page dashboard built with Power BI

End-to-end pipeline on the Lagos property market. Scraped raw listings, cleaned thousands of rows with Pandas, structured data in MySQL, and built an executive Power BI dashboard

2 Page Power BI dashboard analyzing 10 years of maternal & child health data across Nigeria (2013-2023). Explores trends, geographic disparities, and intervention effectiveness. Built with DAX, Power Query, and healthcare analytics insights.

A 3-page Power BI dashboard analysing Nigeria's electricity access trends from 1990–2023, state-level disparities across all 36 states, and DISCO distribution performance across 11 electricity companies. Built with Power Query, DAX, and a shared dimension data model

An end-to-end Python data project that scrapes real player data from Transfermarkt, cleans it with pandas, and performs exploratory data analysis to uncover insights about Arsenal FC’s squad composition, market values and contract risk.

No description.

Sales and Profitability Analysis Project Dashboard built in Power BI with DAX Star Schema modelling

An end-to-end MYSQL ETL pipeline and exploratory data analysis with advanced SQL cleaning, feature engineering, and anomaly detection on a healthcare record dataset identifying clinical risk drivers and synthetic artifacts using windows functions and CTEs

Transforming a flat csv of Global Tech Salaries into a fully Normalized MySQL relational Database to analyse compensation trends, remote work premiums, and market standards using advanced SQL

Exploratory customer data analysis of a US business using MYSQL